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ShyamRavidath
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full-output-enforcement

Enforces complete code generation by banning placeholder patterns and truncation.

Updated Apr 20, 2026
Search Tags:#code generation#llm prompting#output enforcement#anti-truncation#placeholder ban#complete output
One-click install
npx skills add https://github.com/ShyamRavidath/oscc-detection-v2 --skill full-output-enforcement-shyamravidath
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: full-output-enforcement
Source: https://github.com/ShyamRavidath/oscc-detection-v2/tree/main/.agents/skills/full-output-enforcement
Command: npx skills add https://github.com/ShyamRavidath/oscc-detection-v2 --skill full-output-enforcement-shyamravidath

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? LLMs often truncate long outputs, insert placeholder comments like "// rest of code", or skip deliverables when generating large files or multi-part responses. This Skill overrides that default behavior so every requested deliverable is produced in full. ## Core Features & Use Cases - Placeholder Ban: Hard-fails on patterns like // ..., // TODO, "for brevity", and "the rest follows the same pattern" in both code and prose. - Scope Locking: Counts the distinct deliverables in a request up front and cross-checks the output against that count before responding. - Token-Limit Handling: When output approaches the token limit, it pauses at a clean breakpoint with a resumable marker instead of compressing or skipping content. - Use Case: Ask for a full 5-component React dashboard; instead of receiving one complete component and four stubs, you receive all five fully implemented, or a clean pause marker with exact resume instructions. ## Quick Start Apply the full-output-enforcement skill and generate the complete implementation of all requested files with no placeholders or omissions.

Frequently Asked Questions about full-output-enforcement

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I stop an LLM from truncating code output?▼

Apply output enforcement rules that ban placeholder patterns like "// rest of code" and require every requested deliverable to be generated in full. The skill locks the deliverable count before generating and cross-checks the output against it.

How to handle token limits when generating long code files?▼

Write at full quality up to a clean breakpoint such as the end of a function or file, then emit a pause marker stating progress and the next section. On "continue", resume exactly from that point with no recap or repetition.

What placeholder patterns should be banned in AI code generation?▼

Banned patterns include "// ...", "// TODO", "// implement here", "// similar to above", bare ellipses standing in for code, and prose like "for brevity" or "the rest follows the same pattern" replacing actual content.

When should I not use full-output enforcement?▼

Avoid it for exploratory brainstorming, quick prototypes, or questions where a concise answer is appropriate. The skill treats every task as production-critical, which adds unnecessary length to casual or iterative exchanges.

Does output enforcement work with any LLM or framework?▼

Yes, it is a prompt-level instruction set with no code dependencies, so it works with any LLM that accepts system or skill instructions. It contains no scripts, external APIs, or platform-specific requirements.

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